Sentences with phrase «potential political bias»

Not exact matches

Other research in political psychology suggests that the no campaign has had a much easier job — those inclined to political conservatism are more likely to have a «negativity bias» in their response to environmental stimuli — conservatives have more of a physiological reaction to potential threats in the environment and subsequently devote more psychological resources towards dealing with them: conservatives, quite literately, see more things that could go wrong than liberals.

Still, Mr. Brafman added, «in today's climate, defendants facing political corruption charges must be concerned about potential juror bias that may be based more on perception than fact.»

This book provides new insights into the nature of political bias with regards to evidence and critically considers what an «improved» use of evidence would look like from a policymaking perspective.Part I describes the great potential for evidence to help achieve social goals, as well as the challenges raised by the political nature of policymaking.

This point is just as true of climate science, as it is of psychology, political science, or any field that has potential to be distorted by political bias.

Why it is important to know who did this research is because we can better remove the potential bias due to financial or political gain.

(2) thou shalt not fudge the data (3) thou shalt not invent arbitrary statistical methods to suit thy data (4) thou shalt not indulge in any form of bias e.g. thou shalt not employ incomplete, highly selective, subjective literature reviews (6) in the interests of transparency and replication thou shalt not hide the data or code (7) thou shalt not make vague or exaggerated statements unsupported by evidence (8) thou shalt not tolerate actual or potential conflicts of interest (9) thou shalt not allow political interference to compromise scientific integrity (10) thou shalt not use unvalidated computer models (11) Thy university shall insulate undergraduate fees from research expenses and require research to be self supporting independent of the teaching.

(2) thou shalt not fudge the data (3) thou shalt not invent arbitrary statistical methods to suit thy data (4) thou shalt not indulge in any form of bias e.g. thou shalt not employ incomplete, highly selective, subjective literature reviews (5) thou shalt not exaggerate (6) in the interests of transparency and replication thou shalt not hide the data or code (7) thou shalt not make vague statements unsupported by evidence (8) thou shalt not tolerate actual or potential conflicts of interest (9) thou shalt not allow political interference to compromise scientific integrity (10) thou shalt not use unvalidated computer models